code: def test_roc_add_to_roc_from_raw_data():
      y_test_roc2 = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0])
      y_score_roc2 = np.array(
          [
              [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [0.3, 0.6, 0.7, 0.8, 0.9, 0.9, 0.8, 0.2, 0.3, 0.5],
          ]
      ).T
  
      roc1 = plot.ROC.from_raw_data(y_test, y_score)
      roc2 = plot.ROC.from_raw_data(y_test_roc2, y_score_roc2)
      roc1 + roc2
  
imports: from functools import partial
  import sys
  from unittest.mock import Mock
  import numpy
  from matplotlib.testing.decorators import image_comparison
  from sklearn_evaluation import plot
label_desc: Use image node_id 9 for calling a global function with example usage: test_roc_add_to_roc_from_raw_data() without return types